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ORCIDVijayakumar Polepally
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2020 – today
- 2025
[j11]S. Nagendra Prabhu, Parsi Kalpana, Jagannadha Rao D. B., Vijayakumar Polepally
:
Fractional-Ant Lion Optimization Algorithm for Privacy Protection in Cloud with MapReduce Framework. Cybern. Syst. 56(3): 270-301 (2025)- [j10]Yanamala Harinatha Reddy, Jagannadha Rao D. B., Vijayakumar Polepally:
Jaya dung beetle optimization-based load balancing and VM Migration for cloud data security in DevOps. Comput. Electr. Eng. 124: 110400 (2025) - [j9]Yanamala Harinatha Reddy, Jagannadha Rao D. B., Vijayakumar Polepally:
Securing DevOps environments with Fractional archery optimization and server switching models. Expert Syst. Appl. 294: 128721 (2025) - 2024
- [j8]Vijayakumar Polepally, Jagannadha Rao D. B., Parsi Kalpana, S. Nagendra Prabhu:
Exponential Squirrel Search Algorithm-Based Deep Classifier for Intrusion Detection in Cloud Computing with Big Data Assisted Spark Framework. Cybern. Syst. 55(2): 331-350 (2024) - [j7]Jagannadha Rao D. B., Parsi Kalpana, Vijayakumar Polepally, S. Nagendra Prabhu:
HE-Gaston algorithm for frequent subgraph mining with hadoop framework. Expert Syst. Appl. 251: 123971 (2024) - 2023
- [j6]Balasubramaniam S., Mohammad Haider Syed, Nitin S. More, Vijayakumar Polepally:
Deep learning-based power prediction aware charge scheduling approach in cloud based electric vehicular network. Eng. Appl. Artif. Intell. 121: 105869 (2023) - [j5]Jagannadha Rao D. B., Vijayakumar Polepally, S. Nagendra Prabhu, Parsi Kalpana:
Deep recurrent neural network-based Hadoop framework for COVID prediction with applications to big data in cloud computing. Int. J. Bio Inspired Comput. 21(1): 36-47 (2023) - 2022
- [j4]Parsi Kalpana, S. Nagendra Prabhu, Vijayakumar Polepally, Jagannadha Rao D. B.:
Exponentially-spider monkey optimization based allocation of resource in cloud. Int. J. Intell. Syst. 37(3): 2521-2542 (2022) - 2021
- [c1]Vijayakumar Polepally, N. Shiva Nandini Reddy, M. Sindhuja, N. Anjali, K. Jeevan Reddy:
A Deep Learning Approach for Prediction of Stock Price Based on Neural Network Models: LSTM and GRU. ICCCNT 2021: 1-4
2010 – 2019
- 2019
- [j3]Vijayakumar Polepally, K. Shahu Chatrapati:
Dragonfly optimization and constraint measure-based load balancing in cloud computing. Clust. Comput. 22(Suppl 1): 1099-1111 (2019) - 2018
- [j2]Vijayakumar Polepally, K. Shahu Chatrapati:
Exponential gravitational search algorithm-based VM migration strategy for load balancing in cloud computing. Int. J. Model. Simul. Sci. Comput. 9(1): 1850002:1-1850002:29 (2018) - [j1]Vijayakumar Polepally, K. Shahu Chatrapati:
DEGSA-VMM: Dragonfly-based exponential gravitational search algorithm to VMM strategy for load balancing in cloud computing. Kybernetes 47(6): 1138-1157 (2018)
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